Firebase Database Python

Create Read Update Delete(CRUD) to a real-time Database server like Firebase

structure:

• Firebase
• Initial steps to set up the project
• write the data to the firebase
• reading the data in firebase
• updating the data in firebase
• delete data from firebase

Firebase:

• Firebase Hosting works out-of-the-box with Firebase services, including Cloud Functions, Authentication, Realtime Database, Cloud Firestore, and Cloud Messaging. You can build powerful microservices and web apps using these complimentary Firebase services.

Requirements:

• Install firebase from pypi.org This library contains many usefully libraries which is used to connect our python program to firebase, etc
  • !pip install firebase
• To authenticate a service account and authorize it to access Firebase services, you must generate a private key file in JSON format.
  • To generate a private key file for your service account:
    • In the Firebase console, open Settings > Service Accounts.
    • Click Generate New Private Key, then confirm by clicking Generate Key.
    • Securely store the JSON file containing the key.
    • store it inside the project folder

Setting up path:

How to install and write python codes?

• Go to www.python.org
• Choose the latest python version suitable for your user interface machine (mac,windows,liinux etc).
• It will be installed and in your machines as either terminal or command line or python.
• To check python is installed or not , Type print command in command line & check the output. While other easier way of checking is using anaconda as described below.
• Other way of using python is using google colab (Go to Google colab in google) and run python using your machine (including mobile phones).

Anaconda:-

• Go to www.anacond.com & download.
• It is like a bundle that is downloaded with python and along with famous libraries. It is preferred by most data scientists.
• Find anaconda navigator in your machine and open it. You will find different visualizing tools like jupyter lab, jupyter notebook, spyder, orange3, vs code, rstudio, vs code. We need this bundle for jupyter notebook.

Jupyter NoteBook:-

• It is a web-based interactive portal that allows us to give input and see the output then and there in a clean and clear manner.
• How to start programming in Jupyter NoteBook:-
  • Step1: Open Anaconda navigator and select Jupyter NoteBook & click launch.
  • Step2: Create a new folder and rename it.
  • Step3: Go inside the folder and go into new options and select python 3.
  • Step4: Name the python notebook.
  • Step5: Type the code in the cell. And to run the code press shift+enter

Modules & Packages:-

• Modules are nothing but a file (with .py extension) which we can import into a particular program
• Group of modules(python files) is known as package

Pypi.org :

• pypi.org is a website where we all can get different libraries which we can use for a different purpose.
• How to install a library from pypi.org
  • Go to pypi.org.
  • Search for a library according to your need.
  • Copy the text which says “pip install library name”.
  • In Jupyter notebook type “!” and paste the content and run the cell.
  • The library is installed on the local machine

How to create our module:

• Modules are created using a special keyword which is only for Jupyter notebook and Google Colab.
• Create a module by
  • %%writefile ModuleName.py
  • #And write a python code
• Import the module in another program and use the functions inside the module
  • import ModuleName
  • ModuleName.FunctionName()

How to create Package:-

• Make a folder and rename it(That is your package name)
• Now we can import a module through the package, like
  • from packageName import moduleName